Block-based frequency scalable technique for efficient hierarchical coding

Author

Lee, Jooheung ; Vijaykrishnan, Narayanan ; Irwin, Mary Jane ; Chandramouli, Rajarathnam

Author_Institution

Embedded & Mobile Comput. Design Center, Pennsylvania State Univ., University Park, PA

Volume

54

Issue

7

fYear

2006

fDate

7/1/2006 12:00:00 AM

Firstpage

2559

Lastpage

2566

Abstract

In this paper, we propose a block-based frequency scalable technique for efficient hierarchical coding. The proposed technique divides an image into its multiple resolution versions, based on the spectral properties of discrete cosine transform (DCT) kernels. We present that spectral decomposition, downsampling, and DCT operations are performed effectively over input DCT coefficients of one-dimensional (1-D) and two-dimensional (2-D) signals by using the proposed transform matrices. The proposed image coder is observed to reduce the computational complexity and the memory buffer size with a higher peak signal-to-noise ratio (PSNR), when compared with the traditional hierarchical image coder. In addition, the proposed architecture can preserve compatibility easily with the previous DCT-based image coder

Keywords

block codes; computational complexity; discrete cosine transforms; image coding; image resolution; matrix algebra; DCT; block-based frequency scalable technique; computational complexity; discrete cosine transform kernels; hierarchical coding; image coder; memory buffer size; multiple resolution versions; peak signal-to-noise ratio; spectral decomposition; transform matrices; Computational complexity; Discrete cosine transforms; Discrete transforms; Frequency; Image resolution; Kernel; Matrix decomposition; PSNR; Signal resolution; Two dimensional displays; Discrete cosine transform (DCT); hierarchical coding; image/video coding; scalable coding;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2006.874806

Filename

1643895